Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/ijms23052439 http://hdl.handle.net/11449/223500 |
Resumo: | Food-derived bioactive peptides are of great interest to science and industry due to evolving drivers of food product innovation, including health and wellness. This study aims to draw attention through a critical study on how bioinformatics analysis is employed in the identification of bioactive peptides in the laboratory. An in silico analysis (PeptideRanker, BIOPEP, AHTpin, and mAHTPred) of a list of peptides from goat casein hydrolysate was performed to predict which sequences could potentially be bioactive. To validate the predictions, the in vitro antihypertensive potential of the five peptides with the highest potential was first measured. Then, for three of these, gastrointestinal digestion was simulated in vitro, followed by the analysis of the resulting ACE inhibitory activity as well as antioxidant capacity. We thus observed that the use of new computational biology technologies to predict peptide sequences is an important research tool, but they should not be used alone and complementarity with various in vitro and in vivo assays is essential. |
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Repositório Institucional da UNESP |
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Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro ValidationACE inhibitionAntihypertensive activityAntioxidant activityBioactive peptideBioinformaticsIn silico predictionORACFood-derived bioactive peptides are of great interest to science and industry due to evolving drivers of food product innovation, including health and wellness. This study aims to draw attention through a critical study on how bioinformatics analysis is employed in the identification of bioactive peptides in the laboratory. An in silico analysis (PeptideRanker, BIOPEP, AHTpin, and mAHTPred) of a list of peptides from goat casein hydrolysate was performed to predict which sequences could potentially be bioactive. To validate the predictions, the in vitro antihypertensive potential of the five peptides with the highest potential was first measured. Then, for three of these, gastrointestinal digestion was simulated in vitro, followed by the analysis of the resulting ACE inhibitory activity as well as antioxidant capacity. We thus observed that the use of new computational biology technologies to predict peptide sequences is an important research tool, but they should not be used alone and complementarity with various in vitro and in vivo assays is essential.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Centro de Biotecnologia e Química Fina (CBQF) Laboratório Associado Escola Superior de Biotecnologia Universidade Católica Portuguesa, Rua Diogo Botelho 1327Human Neurobehavioral Laboratory Research Centre for Human Development (HNL/CEDH) Universidade Católica Portuguesa, Rua Diogo Botelho 1327Instituto de Biociências Letras e Ciências Exatas (IBILCE)-Rua Cristovão Colombo Campus São José do Rio Preto Universidade Estadual Paulista (UNESP), 2265, Jardim Nazareth, SPLaboratório de Microbiologia Tecnologia Enzimática e Bioprodutos—Universidade Federal do Agreste de Pernambuco (UFAPE), Avenida Bom Pastor s/n, Boa Vista, PEInstituto de Biociências Letras e Ciências Exatas (IBILCE)-Rua Cristovão Colombo Campus São José do Rio Preto Universidade Estadual Paulista (UNESP), 2265, Jardim Nazareth, SPFAPESP: 2017/16482-5CNPq: 202186/2018-0Universidade Católica PortuguesaUniversidade Estadual Paulista (UNESP)Tecnologia Enzimática e Bioprodutos—Universidade Federal do Agreste de Pernambuco (UFAPE)Coscueta, Ezequiel R.Batista, PatríciaGomes, José Erick Galindo [UNESP]da Silva, Roberto [UNESP]Pintado, Maria Manuela2022-04-28T19:50:58Z2022-04-28T19:50:58Z2022-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/ijms23052439International Journal of Molecular Sciences, v. 23, n. 5, 2022.1422-00671661-6596http://hdl.handle.net/11449/22350010.3390/ijms230524392-s2.0-85125038672Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Molecular Sciencesinfo:eu-repo/semantics/openAccess2022-04-28T19:50:58Zoai:repositorio.unesp.br:11449/223500Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:50:58Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation |
title |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation |
spellingShingle |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation Coscueta, Ezequiel R. ACE inhibition Antihypertensive activity Antioxidant activity Bioactive peptide Bioinformatics In silico prediction ORAC |
title_short |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation |
title_full |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation |
title_fullStr |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation |
title_full_unstemmed |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation |
title_sort |
Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation |
author |
Coscueta, Ezequiel R. |
author_facet |
Coscueta, Ezequiel R. Batista, Patrícia Gomes, José Erick Galindo [UNESP] da Silva, Roberto [UNESP] Pintado, Maria Manuela |
author_role |
author |
author2 |
Batista, Patrícia Gomes, José Erick Galindo [UNESP] da Silva, Roberto [UNESP] Pintado, Maria Manuela |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Católica Portuguesa Universidade Estadual Paulista (UNESP) Tecnologia Enzimática e Bioprodutos—Universidade Federal do Agreste de Pernambuco (UFAPE) |
dc.contributor.author.fl_str_mv |
Coscueta, Ezequiel R. Batista, Patrícia Gomes, José Erick Galindo [UNESP] da Silva, Roberto [UNESP] Pintado, Maria Manuela |
dc.subject.por.fl_str_mv |
ACE inhibition Antihypertensive activity Antioxidant activity Bioactive peptide Bioinformatics In silico prediction ORAC |
topic |
ACE inhibition Antihypertensive activity Antioxidant activity Bioactive peptide Bioinformatics In silico prediction ORAC |
description |
Food-derived bioactive peptides are of great interest to science and industry due to evolving drivers of food product innovation, including health and wellness. This study aims to draw attention through a critical study on how bioinformatics analysis is employed in the identification of bioactive peptides in the laboratory. An in silico analysis (PeptideRanker, BIOPEP, AHTpin, and mAHTPred) of a list of peptides from goat casein hydrolysate was performed to predict which sequences could potentially be bioactive. To validate the predictions, the in vitro antihypertensive potential of the five peptides with the highest potential was first measured. Then, for three of these, gastrointestinal digestion was simulated in vitro, followed by the analysis of the resulting ACE inhibitory activity as well as antioxidant capacity. We thus observed that the use of new computational biology technologies to predict peptide sequences is an important research tool, but they should not be used alone and complementarity with various in vitro and in vivo assays is essential. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:50:58Z 2022-04-28T19:50:58Z 2022-03-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/ijms23052439 International Journal of Molecular Sciences, v. 23, n. 5, 2022. 1422-0067 1661-6596 http://hdl.handle.net/11449/223500 10.3390/ijms23052439 2-s2.0-85125038672 |
url |
http://dx.doi.org/10.3390/ijms23052439 http://hdl.handle.net/11449/223500 |
identifier_str_mv |
International Journal of Molecular Sciences, v. 23, n. 5, 2022. 1422-0067 1661-6596 10.3390/ijms23052439 2-s2.0-85125038672 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Molecular Sciences |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965486039957504 |